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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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相关实验视频

Updated: May 26, 2025

Intraoperative Ultrasound in Spinal Surgery
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基于深度学习的手术内核磁共振成像重建.

Jon André Ottesen1,2,3, Tryggve Storas4, Svein Are Sirirud Vatnehol5,6,7

  • 1Computational Radiology & Artificial Intelligence (CRAI) Research Group, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. jonakri@uio.no.

European radiology experimental
|February 25, 2025
PubMed
概括
此摘要是机器生成的。

深度学习 (DL) 在脑瘤手术期间显示出高质量的手术内MRI (iMRI) 重建的前景. 虽然神经放射学家更喜欢DL,神经外科医生更喜欢传统方法,表明需要进一步优化.

关键词:
艺术品 文物 文物大脑的新生瘤.深度学习是一种深度学习.磁共振成像技术 磁共振成像技术神经外科手术程序的神经外科手术程序

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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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相关实验视频

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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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科学领域:

  • 医疗成像医学成像
  • 人工智能在医学中的应用
  • 神经外科 神经外科

背景情况:

  • 术内MRI (iMRI) 对于脑瘤手术至关重要.
  • 使用加速的iMRI协议来缩短扫描时间.
  • 评估深度学习 (DL) 重建加速iMRI的质量是必不可少的.

研究的目的:

  • 在脑瘤切除过程中,评估DL重建的质量,以加速手术内MRI (iMRI).
  • 将DL重建与传统压缩传感 (CS) 方法进行比较.
  • 通过临床医生来确定诊断效用和首选的重建方法.

主要方法:

  • 从40名脑瘤手术患者的加速iMRI数据的回顾性分析.
  • 在快速MRI神经数据集上训练的DL模型被用于重建.
  • 两位神经放射学家和一名神经外科医生使用利克特尺度对DL与CS重建的比较评估.

主要成果:

  • 在大多数情况下 (33/40和39/40),神经放射学家倾向于进行DL重建.
  • 根据神经放射学家 (72%的病例) 的说法,DL重建在大多数图像质量指标上取得了更高的分数.
  • DL重建显示了条纹文物和降低信号;神经外科医生更喜欢CS重建.

结论:

  • 深度学习显示了高质量的iMRI重建的潜力,改善了神经放射学家感知的图像质量.
  • 尽管有承诺,但DL重建需要进一步优化,因为人工制品和具有挑战性的手术内环境.
  • 临床偏好各不相同,神经放射学家倾向于DL,神经外科医生倾向于CS,突出了对量身定制解决方案的需求.